English(EN) Next was a fantastic talk by Yury Polyanskiy on improving quantization methods for LLMs and matrix multiplication more broadly at IAIFI. This is elegant work, a

Yury Polyanskiy 在 IAIFI 讨论 LLM 量化方法

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-10 00:12

Yury Polyanskiy 在 IAIFI 发表了演讲，讨论了用于大型语言模型和矩阵乘法的量化方法的进展。所提出的工作侧重于开发更具计算效率的大模型训练技术。 AI

影响提高了训练大型语言模型的计算效率。

排序理由该集群描述了一场关于 LLM 量化方法研究的演讲。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — fosstodon.org 阅读 →

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-05-10 00:12

Next was a fantastic talk by Yury Polyanskiy on improving quantization methods for LLMs and matrix multiplication more broadly at IAIFI. This is elegant work, a

Next was a fantastic talk by Yury Polyanskiy on improving quantization methods for LLMs and matrix multiplication more broadly at IAIFI. This is elegant work, and extremely important in advancing more computationally efficient methods for training large models. Highly recommend h…

链接 youtube.com/watch

报道来源 [1]

Next was a fantastic talk by Yury Polyanskiy on improving quantization methods for LLMs and matrix multiplication more broadly at IAIFI. This is elegant work, a

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